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7cadfb0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | # Agent 2 Analysis — Latest Status
## Kaggle: 6065.98 (v42)
## Task 062 — RULE CRACKED (267/267 PASS)
**Rule**: Input has a main-color shape and a color-2 axis (line or single cell).
Reflect the entire combined shape (main + axis) across the boundary between the
main shape's nearest edge and the axis. Output fills bg with color 3.
**Key details**:
- Axis orientation: vertical if axis has 1 unique col AND main is to the side; horizontal otherwise
- Mirror position: midpoint between the closest main-cell edge and the axis position
- All cells (main + axis + reflected) become the main color in output
- Background is color 3
**ONNX viability**: PROMISING
- 10×10 fixed grid → slice-first
- Base: 194 nodes, 929 params, score ~11.5
- Target: ~60-80 nodes → score ~14-15 → **gain +2.5 to +3.5 pts**
- Operations needed: ArgMax (find color), ReduceSum (find positions), arithmetic (mirror coords), comparisons (masks)
**Python solver**: 267/267 PASS (all train+test+arc-gen)
## All Models Status
| Task | Gain | Status | Confidence |
|------|------|--------|-----------|
| 025 | +1.81 | ✅ On Kaggle | Verified |
| 028 | +0.87 | ✅ On Kaggle | Verified |
| 084 | +2.56 | ✅ On Kaggle | Verified |
| 153 | +3.18 | ✅ On Kaggle | Verified |
| 200 | +3.56 | ✅ On Kaggle | Verified |
| 255 | +4.16 | ✅ On Kaggle | Verified |
| 285 | +2.83 | ✅ On Kaggle | Verified |
| 319 | +3.67 | ✅ On Kaggle | Verified |
| 387 | +0.47 | ✅ On Kaggle | Verified |
| **062** | **+3 est** | **Rule cracked, ONNX pending** | High |
| **Total** | **+26 est** | | |
## Next: Build task062 ONNX
The ONNX implementation needs:
1. Slice to 10×10
2. Find main color via ArgMax on channel sums (excluding bg and ch2)
3. Find axis orientation using center-of-mass comparison
4. Compute mirror position from main-cell boundary
5. Reflect using `2*mirror - coord_grid`
6. Build output mask, apply colors, add bg, pad to 30×30
7. Apply strict shape inference fix
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